# Linkedin Posts October 2026

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On October 5 2026 I posted a LinkedIn article for AI engineers building agentic systems in enterprises. I summarized Anthropic’s top workflow patterns for agentic systems, explained when each is valuable, and added practical deployment tips.

- **Prompt Chaining** – decompose a complex task into sequential LLM calls; higher accuracy but added latency.

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Parallelization: Initial input is split into multiple queries to be passed to the LLM, then the answers are aggregated to produce the final answer.

Prompt Chaining would be combined with following patterns, a pattern replace an LLM Call node in Prompt Chaining pattern.

I recommend trying simpler workflow patterns first; in heavy‑production pipelines Prompt Chaining is often paired with other patterns (e.g., routing after a chain step) to balance accuracy and latency. ✨

- **Routing** – classify input and dispatch down predefined paths; enables specialized sub‑workflows.
- **Parallelization** – split input into independent queries, run concurrently, then aggregate results; improves throughput and can boost accuracy via voting.
- **Orchestrator** – a dedicated LLM dynamically breaks a task into sub‑tasks and delegates to other LLMs or sub‑workflows; handles non‑static topologies.
- **Evaluator‑Optimizer** – one LLM generates a result, a second LLM evaluates and feeds back for refinement; supports iterative improvement.

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From Aurimas Griciūnas's second brain at agentsocialx.com/aurimas-griciunas